Lung imaging in severe asthma

Copyright © 2020 SPLF. Published by Elsevier Masson SAS. All rights reserved..

INTRODUCTION: Asthma is a common disease whose diagnosis does not typically rely on the results of imaging. However, chest CT has gained a key place over the last decade to support the management of patients with difficult to treat and severe asthma.

STATE OF THE ART: Bronchial wall thickening and mild dilatation or narrowing of bronchial lumen are frequently observed on chest CT in people with asthma. Bronchial wall thickening is correlated to the degree of obstruction and to bronchial wall remodeling and inflammation. Diverse conditions which can mimic asthma should be recognized on CT, including endobronchial tumours, interstitial pneumonias, bronchiectasis and bronchiolitis. Ground-glass opacities and consolidation may be related to transient eosinophilic infiltrates, infection or an associated disease (vasculitis, chronic eosinophilic pneumonia). Hyperdense mucous plugging is highly specific for allergic bronchopulmonary aspergillosis.

PERSPECTIVES: Airway morphometry, air trapping and quantitative analysis of ventilatory defects, with CT or MRI, can help to identify different morphological subgroups of patients with different functional or inflammatory characteristics. These imaging tools could emerge as new biomarkers for the evaluation of treatment response.

CONCLUSION: Chest CT is indicated in people with severe asthma to search for additional or alternative diagnoses. Quantitative imaging may contribute to phenotyping this patient group.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:38

Enthalten in:

Revue des maladies respiratoires - 38(2021), 1 vom: 15. Jan., Seite 41-57

Sprache:

Französisch

Weiterer Titel:

Imagerie de l’asthme sévère

Beteiligte Personen:

Debray, M-P [VerfasserIn]
Ghanem, M [VerfasserIn]
Khalil, A [VerfasserIn]
Taillé, C [VerfasserIn]

Links:

Volltext

Themen:

Asthma
Asthme
Computed tomography
Imagerie par résonance magnétique
Imagerie quantitative
Journal Article
Lung
Magnetic resonance imaging
Poumon
Quantitative imaging
Review
Scanner

Anmerkungen:

Date Completed 17.09.2021

Date Revised 17.09.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.rmr.2020.09.010

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM319873757